OnePlus CPH2723
Geekbench AI Score
2411
Single Precision Score
2424
Half Precision Score
4257
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 11 2025 11:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2723 |
| Model ID | OnePlus CPH2723 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1532
284.9 IPS |
|
|
Image Classification (HP)
|
100% |
1737
323.0 IPS |
|
|
Image Classification (Q)
|
100% |
3241
602.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1979
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4469
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4698
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
4508
5.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
11125
13.2 IPS |
|
|
Object Detection (SP)
|
98% |
1407
111.9 IPS |
|
|
Object Detection (HP)
|
98% |
1425
113.4 IPS |
|
|
Object Detection (Q)
|
83% |
3403
274.9 IPS |
|
|
Face Detection (SP)
|
100% |
3853
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
3909
46.4 IPS |
|
|
Face Detection (Q)
|
95% |
7977
95.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3986
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3932
30.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
8728
79.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9743
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9700
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20513
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1981
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5320
197.1 IPS |
|
|
Text Classification (SP)
|
100% |
903
1.21 KIPS |
|
|
Text Classification (HP)
|
99% |
886
1.18 KIPS |
|
|
Text Classification (Q)
|
88% |
982
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (Q)
|
50% |
478
17.0 IPS |
